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Lead Data Scientist Hoofddorp, Netherlands

Lead Data Scientist Description

Job #: 61601
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique 'Engineering DNA,' EPAM's globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people's lives. In 2021, EPAM was added to the S&P 500 and included among the list of Forbes Global 2000 companies.  

Selected by Newsweek as a 2021 and 2022 Most Loved Workplace, EPAM's global multi-disciplinary teams serve customers in more than 50 countries across six continents. As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked four times as the top IT services company on Fortune's 100 Fastest Growing Companies list. EPAM is also listed among Ad Age's top 25 World's Largest Agency Companies for three consecutive years, and Consulting Magazine named EPAM Continuum a top 20 Fastest Growing Firm.

Learn more at www.epam.com and follow EPAM on Twitter and LinkedIn.

DESCRIPTION



EPAM Systems is looking for an experienced Lead Data Scientist to join their team to lead a dynamic and complex project. The ideal candidate will lead the development of our incident resolution tooling using correlation, anomaly detection and graph learning.

Responsibilities

  • Initiating creation of Jupyter-centric data science platform
  • Disseminating best practices in Spark-based machine learning pipelines
  • Build demand forecasting model beating industry standards
  • Build causal inference model to allocate business assets optimally
  • Build model to optimize online ad spending on clicks and views
  • Create training program for Analytics Translators
  • Develop occupancy pattern detection algorithm
  • Create Python library for causal inference

Requirements

  • Significant Data engineering Experience
  • Pyspark
  • HDFS
  • Grafana
  • Apache Airflow
  • Apache Spark
  • ELK Stack
  • Hadoop Ecosystem
  • Time series
  • Graph theory
  • ML & DL algorithm

Technologies

  • JupyterHub/Jupyter Lab
  • Spark
  • Kafka
  • Mesos/Kubernetes
  • Airflow
  • Python (of course)
  • Java/Scala is added bonus
  • Docker
  • Jenkins
  • Shell scripting

We offer

  • Competitive Compensation
  • 26 paid holiday days
  • Commuting to work- costs reimbursement
  • Option to participate in our Pension Plan scheme OR Health insurance Compensation
  • Discretionary Performance Based bonus
  • Laptop + Corporate Simcard
  • Annual Salary Review
  • Trainings, Internal Education and Dutch Language Courses
  • Unlimited access to LinkedIn learning solutions
  • Relocation Package
  • Regular Corporate and Social Events
  • The opportunity to be part of a diverse and multicultural company
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)

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